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Title:
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A score-informed computational description of svaras using a statistical model
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Author:
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Sentürk, Sertan; Koduri, Gopala Krishna; Serra, Xavier
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Abstract:
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Comunicació presentada a: 13th Sound and Music Computing Conference (SMC 2016), celebrat a Hamburg (Alemanya), del 31 d'agost a 3 de setembre de 2016. |
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Abstract:
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Musical notes are often modeled as a discrete sequence
of points on a frequency spectrum with possibly different
interval sizes such as just-intonation. Computational
descriptions abstracting the pitch content in audio music
recordings have used this model, with reasonable success
in several information retrieval tasks. In this paper, we
argue that this model restricts a deeper understanding of
the pitch content. First, we discuss a statistical model of
musical notes which widens the scope of the current one
and opens up possibilities to create new ways to describe
the pitch content. Then we present a computational approach
that partially aligns the audio recording with its
music score in a hierarchical manner first at metrical cyclelevel
and then at note-level, to describe the pitch content
using this model. It is evaluated extrinsically in a classification
test using a public dataset and the result is shown
to be significantly better compared to a state-of-the-art approach.
Further, similar results obtained on a more challenging
dataset which we have put together, reinforces that
our approach outperforms the other. |
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Abstract:
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This research was partly funded by the European Research
Council under the European Union’s Seventh Framework
Program, as part of the CompMusic project (ERC grant
agreement 267583). |
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Rights:
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© 2016 Sertan Senturk, Gopala Krishna Koduri, Xavier Serra. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
https://creativecommons.org/licenses/by/3.0/
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Document type:
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Conference Object
Article - Published version |
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Published by:
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Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4) Hochschule für Musik und Theate
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